Covert Channels Using QUIC Protocol Headers
Where
Talks
ShmooCon 2025
Duration
18 min
Shows how a covert channel can hide encrypted messages inside QUIC connection ID fields to evade entropy-based detection.
Summary
The talk opens with background on covert channels, framing them through the prisoners problem and the Department of Defense's split between storage and timing channels. It then covers later risk measures that weigh bandwidth over time and the sensitivity of the data leaking. QUIC, the UDP-based transport beneath HTTP/3, is introduced next, and the speaker explains why its connection ID field is attractive: it is a required header with a wide allowed entropy range, so random-looking bytes there can blend in.
The middle of the talk walks through a proof of concept built as a university assignment on a Python QUIC library. Public key material and encrypted data are split into connection IDs, and short command messages such as a remote identity check are sent back and forth. The speaker compared the entropy of the carried bytes with ordinary traffic captured from real sessions, and estimated throughput at roughly 10 bytes per second, just under the old 100 bits per second threshold for high risk.
The speaker is candid about weaknesses: a parity bias from the odd-valued modulus, no authenticated key exchange, exposure to bit-flipping and man-in-the-middle attacks, and fragility when synchronization is lost. The takeaway for defenders is that a high-entropy field filled with high-entropy data is hard to spot statistically, so endpoint protection and data loss prevention controls matter. The closing advice is to build and document ideas even when they have been explored before.
Related talks
Talks·30 min
Julien Bedel
Shows how COM and DCOM are abused for execution, persistence, lateral movement and impersonation on Windows.
Talks·50 min
Matthew Fisher
Walks through fast, low-effort internal network tactics for harvesting credentials and escalating toward domain admin.
Talks·16 min
Chris Ross · Cedric Owens
Surveys native macOS utilities and data sources that attackers can abuse for reconnaissance and post-exploitation.


